World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Integrated Hydrological Modeling of the North China Plain and Implications for Sustainable Water Management : Volume 10, Issue 3 (19/03/2013)

By Qin, H.

Click here to view

Book Id: WPLBN0004011703
Format Type: PDF Article :
File Size: Pages 49
Reproduction Date: 2015

Title: Integrated Hydrological Modeling of the North China Plain and Implications for Sustainable Water Management : Volume 10, Issue 3 (19/03/2013)  
Author: Qin, H.
Volume: Vol. 10, Issue 3
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Cao, G., He, X., Kristensen, M., Qin, H., Rasmussen, M. O., Refsgaard, J. C.,...Zheng, C. (2013). Integrated Hydrological Modeling of the North China Plain and Implications for Sustainable Water Management : Volume 10, Issue 3 (19/03/2013). Retrieved from http://hawaiilibrary.net/


Description
Description: Center for Water Research, College of Engineering, Peking University, Beijing, 100871, China. Groundwater overdraft has caused fast water level decline in the North China Plain (NCP) since the 1980s. Although many hydrological models have been developed for the NCP in the past few decades, most of them deal only with the groundwater component or only at local scales. In the present study, a coupled surface water–groundwater model using the MIKE SHE code has been developed for the entire alluvial plain of the NCP. All the major processes in the land phase of the hydrological cycle are considered in the integrated modeling approach. The most important parameters of the model are first identified by a sensitivity analysis and then calibrated for the period 2000–2005. The calibrated model is validated for the period 2006–2008 against daily observations of groundwater heads. The simulation results compare well with the observations where acceptable values of root mean square error (RMSE) and correlation coefficient (R) are obtained. The simulated evapotranspiration (ET) is then compared with the remote sensing (RS) based ET data to further validate the model simulation. The comparison result with a R2 value of 0.93 between the monthly averaged values of simulated actual evapotranspiration (AET) and RS AET for the entire plain shows a good performance of the model. The water balance results indicate that more than 69% of water leaving the flow system is attributed to the ET component. Sustainable water management analysis of the NCP is conducted using the simulation results obtained from the integrated model. An effective approach to improve water use efficiency in the NCP is by reducing the actual evapotranspiration, and that water-saving technologies based on this approach, such as change of crop rotation types, may be adopted.

Summary
Integrated hydrological modeling of the North China Plain and implications for sustainable water management

Excerpt
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An introduction to the European hydrological system-Systeme Hydrologique Europeen, SHE 1, history and philosophy of a physically based distributed modeling system, J. Hydrol., 87, 45–59, 1986a.; Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An introduction to the European Hydrological System-Systeme Hydrologique Europeen, SHE 1, structure of a physically based distributed modeling system, J. Hydrol., 87, 61–77, 1986b.; Anderson, M. P. and Woessner, W. W.: The role of the postaudit in model validation, Adv. Water Resour., 15, 167–173, 1992.; Blanke, A., Rozelle, S., Lohmar, B., Wang, J., and Huang, J.: Water saving technology and saving water in China, Agr. Water Manage., 87, 139–150, 2007.; Braadbaart, O. and Braadbaart, F.: Policing the urban pumping race: industrial groundwater overexploitation in Indonesia, World Dev., 25, 199–210, 1997.; Branger, F., Braud, I., Debionne, S., Viallet, P., Dehotin, J., Henine, H., Nedelec, Y., and Anquetin, S.: Towards multi-scale integrated hydrological models using the LIQUID® framework: overview of the concepts and first application examples, Environ. Modell. Softw., 25, 1672–1681, 2010.; Casper, M. C. and Vohland, M.: Validation of a large scale hydrological model with data fields retrieved from reflective and thermal optical remote sensing data – a case study for the Upper Rhine Valley, Phys. Chem. Earth, 33, 1061–1067, 2008.; Cao, G., Zheng, C., Scanlon, B. R., Liu, J., and Li, W.: Use of flow modeling to assess sustainability of groundwater resources in the North China Plain, Water Resour. Res., 49, 1–17, doi:10.1029/2012WR011899, 2013.; Cao, Z., Gareth, P., and Paul, C.: Shallow water hydrodynamic models for hyperconcentrated sediment-laden floods over erodible bed, Adv. Water Resour., 29, 546–557, 2006.; Chen, J., Chen, X., Ju, W., and Geng, X.: Distributed hydrological model for mapping evapotranspiration using remote sensing inputs, J. Hydrol., 305, 15–39, 2005.; DHI: MIKE SHE User Manual, vol. 1: User Guide, Danish Hydraulic Institute, Horsholm, Denmark, 2008a.; DHI: MIKE SHE User Manual, vol. 2: Reference Guide, Danish Hydraulic Institute, Horsholm, Denmark, 2008b.; DHI: MIKE 11-A Modeling System for Rivers and Channels, Short Introduction and Tutorial, Danish Hydraulic Institute, Horsholm, Denmark, 2008c.; DHI: AUTOCAL-Auto Calibration Tool User Guide, Danish Hydraulic Institute, Horsholm, Denmark, 2008d.; Doummar, J., Sauter, M., and Geyer, T.: Simulation of flow processes in a large scale karst system with an integrated catchment model (Mike She) – identification of relevant parameters influencing spring discharge, J. Hydrol., 426–427, 112–123, 2012.; Ferguson, I. M. and Maxwell, R. M.: Role of groundwater in watershed response and land surface feedbacks under climate change, Water Resour. Res., 46, W00F02, doi:10.1029/2009WR008616, 2010.; Giovanni, P., Jonghan, K., Thomas, M., and Terry, H.: Determination of growth-stage- specific crop coefficients (Kc) of cotton and wheat, Agr. Water Manage., 96, 1691–1697, 2009a.; Giovanni, P., Jonghan, K., T

 

Click To View

Additional Books


  • Evidence of Non-darcy Flow and Non-ficki... (by )
  • The Impact of Near-surface Soil Moisture... (by )
  • Effect of Clear Cutting on Nutrient Flux... (by )
  • Modelling of Snow Processes in Catchment... (by )
  • Modeling Moisture Fluxes Using Artificia... (by )
  • Riverine Transport of Biogenic Elements ... (by )
  • Errata : Volume 8, Issue 5 (30/11/-0001) 
  • Comparison of Drought Indicators Derived... (by )
  • A Stochastic Design Rainfall Generator B... (by )
  • Comment on Technical Note: on the Matt–s... (by )
  • Confronting the Vicinity of the Surface ... (by )
  • Methods for Estimation Loads Transported... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.